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Why this grade This listing scored 32/100, which is an F. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 8 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
-15 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
This listing does not state a salary
$163k – $276k
That is the middle half of what comparable roles paid on this board over the last 90 days — 31 listings that did publish a figure, median $179k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.
Full-Time Senior Data Science & Analytics
As a Member of Technical Staff on Machine Learning, you will:
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Contribute to the entire development cycle of our cutting-edge large deep learning models.
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Prepare datasets, design architectures, implement solutions, train and evaluate models to improve our products.
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Collaborate closely with engineers and researchers to translate cutting-edge research into practical applications.
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Join us at an exciting moment, wear many hats and help us build something from the ground up!
You may be a good fit, if you have:
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Experience with training and evaluating large deep learning models.
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Proficiency in standard deep learning frameworks (e.g. PyTorch, JAX).
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Proven track record of applying and implementing machine learning algorithms into software applications at scale.
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The ability to build in a fast-paced environment under some uncertainty.
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A kind and collaborative nature and work style.
Reka's Mission
Reka's mission is to build useful multimodal artificial intelligence and use it to empower organisations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to many of the breakthroughs in AI over the past decade.
Why Reka?
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An Elite Team: Collaborate with top-tier engineers, researchers, operators from renowned organizations like Google DeepMind and Facebook AI Research (FAIR) and successful startups, driving innovation in cutting-edge AI technology.
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Massive Market Opportunity: Be part of a rapidly growing industry poised to transform multiple sectors globally, offering the chance to make a significant impact.
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Mission-Driven Environment: Work alongside a collaborative, mission-focused team dedicated to advancing AI for meaningful applications.
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Inclusive and Open Culture: Thrive in an open and inclusive work environment that values diverse perspectives and fosters creativity.
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Generous Benefits: Enjoy 5 weeks of paid leave to recharge, comprehensive healthcare benefits including vision and dental, and additional perks that support your well-being.
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Visa Support: We provide visa assistance, including H1B and OPT transfers, for US employees to ensure a smooth transition and support your career with us.
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Where this listing came from
- 08 Sep 2026 Jobicy first sighting
Seen on 1 board over 30 days. The employer edited the description 1× since we first recorded it.